Data Warehouse Lead/Arch Snowflake

We are seeking a Data Warehouse Lead / Snowflake Architect to lead the design, implementation, and evolution of our enterprise data platform. This individual will own the architecture of our Snowflake environment and help drive data strategy across multiple operating companies. You’ll partner with business and technology teams to deliver scalable, high-performing analytics solutions that support operational reporting, financial analysis, and executive decision-making., * Lead the architecture and development of our Snowflake data warehouse and enterprise data platform.

• Design and implement scalable ETL/ELT pipelines to integrate data from ERP, financial, project management, and operational systems.
• Develop and maintain dimensional data models, data governance standards, and data quality processes.
• Partner with business stakeholders, analysts, and engineering teams to define reporting and analytics requirements.
• Optimize Snowflake performance, security, scalability, and cost management.
• Support enterprise reporting initiatives and enable self-service analytics through modern BI solutions.
• Troubleshoot complex data issues and serve as the technical lead for data platform initiatives.
• Create architecture documentation, data lineage, and best practices to support long-term platform growth., Vaco by Highspring and its parents, affiliates, and subsidiaries (“we,” “our,” or “Vaco by Highspring”) respects your privacy and are committed to providing transparent notice of our policies.
• California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
• Virginia residents may access our state specific policies here.
• Residents of all other states may access our policies here.
• Canadian residents may access our policies in English here and in French here.
• Residents of countries governed by GDPR may access our policies here.

• 8+ years of experience in data warehousing, data architecture, or data engineering.
• Strong expertise with Snowflake architecture, administration, and optimization.
• Experience building cloud-based ETL/ELT solutions using tools such as dbt, Matillion, Fivetran, Azure Data Factory, Informatica, or similar.
• Advanced SQL development and data modeling experience.
• Strong understanding of data governance, data quality, security, and master data management.
• Experience integrating data from ERP, financial, and operational business systems.
• Ability to communicate effectively with both technical and business stakeholders., * SnowPro or other Snowflake certifications.
• Experience with Power BI, Tableau, or similar analytics platforms.
• Background supporting enterprise data modernization or ERP transformation initiatives.
• Experience working in multi-company or acquisition-driven environments.

Pulled from the full job description

• 401(k)
• Health insurance
• Vision insurance
• Dental insurance, Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:
• the individual’s skill sets, experience and training;
• licensure and certification requirements;
• office location and other geographic considerations;
• other business and organizational needs.

With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring’s use of AI can be found here (https://www.highspring.com/ai-use-notices/). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client’s use of AI products in hiring.